A High-Resolution Anatomical Atlas of the Transcriptome in the Mouse Embryo

Graciana Diez‐Roux(Telethon Institute Of Genetics And Medicine), Sandro Banfi(Telethon Institute Of Genetics And Medicine), Marc Sultan(Max Planck Institute for Molecular Genetics), Lars Geffers(Max Planck Institute for Biophysical Chemistry), Santosh Anand(Telethon Institute Of Genetics And Medicine), David Rozado(Max Planck Institute for Molecular Genetics), Alon Magen(Max Planck Institute for Molecular Genetics), Elena Canidio, Massimiliano Pagani, Ivana Peluso(Telethon Institute Of Genetics And Medicine), Nathalie Lin-Marq(University of Geneva), Muriel Koch(Institut Clinique de la Souris), Marchesa Bilio(Telethon Institute Of Genetics And Medicine), Immacolata Cantiello(Telethon Institute Of Genetics And Medicine), Roberta Verde(Telethon Institute Of Genetics And Medicine), Cristian De Masi(Telethon Institute Of Genetics And Medicine), Salvatore Bianchi(Telethon Institute Of Genetics And Medicine), Juliette Cicchini(University of Geneva), Elodie Perroud(University of Geneva), Shprese Mehmeti(University of Geneva), Emilie Dagand(Max Planck Institute for Molecular Genetics), Sabine Schrinner(Max Planck Institute for Molecular Genetics), Asja Nürnberger(Max Planck Institute for Molecular Genetics), Katja Schmidt(Max Planck Institute for Molecular Genetics), K Metz(Max Planck Institute for Molecular Genetics), Christina Zwingmann(Max Planck Institute for Molecular Genetics), Norbert Brieske(Max Planck Institute for Molecular Genetics), Cindy Springer(Max Planck Institute for Molecular Genetics), Ana Martinez Hernandez(Max Planck Institute for Biophysical Chemistry), Sarah Herzog(Max Planck Institute for Biophysical Chemistry), Frauke Grabbe(Max Planck Institute for Biophysical Chemistry), Cornelia Sieverding(Max Planck Institute for Biophysical Chemistry), Barbara Fischer(Max Planck Institute for Biophysical Chemistry), Kathrin Schrader(Max Planck Institute for Biophysical Chemistry), Maren Brockmeyer(Max Planck Institute for Biophysical Chemistry), Sarah Dettmer(Max Planck Institute for Biophysical Chemistry), Christin Helbig(Max Planck Institute for Biophysical Chemistry), Violaine Alunni(Institut Clinique de la Souris), Marie-Annick Battaini(Institut Clinique de la Souris), Carole Mura(Institut Clinique de la Souris), Charlotte N. Henrichsen(University of Lausanne), Raquel García‐López(Universitat de Miguel Hernández d'Elx), Diego Echevarrı́a(Universitat de Miguel Hernández d'Elx), Eduardo Puelles(Universitat de Miguel Hernández d'Elx), Elena Garcı́a-Calero(Universitat de Miguel Hernández d'Elx), Stefan Kruse, M. Uhr(Max Planck Institute for Biophysical Chemistry), Christine Kauck(Max Planck Institute for Biophysical Chemistry), Guangjie Feng(Western General Hospital), Nestor Milyaev(Western General Hospital), Chuang Kee Ong(Western General Hospital), Lalit Kumar(Western General Hospital), MeiSze Lam(Western General Hospital), Colin A. Semple(Western General Hospital), Attila Gyenesei(Western General Hospital), Stefan Mundlos(Max Planck Institute for Molecular Genetics), Uwe Radelof, Hans Lehrach(Max Planck Institute for Molecular Genetics), Paolo Sarmientos, Alexandre Reymond(University of Lausanne), Duncan Davidson(Western General Hospital), Pascal Dollé(Centre National de la Recherche Scientifique), Stylianos E. Antonarakis(University of Geneva), Marie‐Laure Yaspo(Max Planck Institute for Molecular Genetics), Salvador Martı́nez(Universitat de Miguel Hernández d'Elx), Richard Baldock(Western General Hospital), Gregor Eichele(Max Planck Institute for Biophysical Chemistry), Andrea Ballabio(Baylor College of Medicine)
PLoS Biology
January 18, 2011
Cited by 688Open Access
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Abstract

Ascertaining when and where genes are expressed is of crucial importance to understanding or predicting the physiological role of genes and proteins and how they interact to form the complex networks that underlie organ development and function. It is, therefore, crucial to determine on a genome-wide level, the spatio-temporal gene expression profiles at cellular resolution. This information is provided by colorimetric RNA in situ hybridization that can elucidate expression of genes in their native context and does so at cellular resolution. We generated what is to our knowledge the first genome-wide transcriptome atlas by RNA in situ hybridization of an entire mammalian organism, the developing mouse at embryonic day 14.5. This digital transcriptome atlas, the Eurexpress atlas (http://www.eurexpress.org), consists of a searchable database of annotated images that can be interactively viewed. We generated anatomy-based expression profiles for over 18,000 coding genes and over 400 microRNAs. We identified 1,002 tissue-specific genes that are a source of novel tissue-specific markers for 37 different anatomical structures. The quality and the resolution of the data revealed novel molecular domains for several developing structures, such as the telencephalon, a novel organization for the hypothalamus, and insight on the Wnt network involved in renal epithelial differentiation during kidney development. The digital transcriptome atlas is a powerful resource to determine co-expression of genes, to identify cell populations and lineages, and to identify functional associations between genes relevant to development and disease.


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